Matt W. Email and Phone Number
Matt W. work email
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Matt W. personal email
Data science and machine learning leader with 10+ years of experience who has delivered and presented numerous large-scale ML, engineering, and analytical projects to key stakeholders. Significant experience generating/delivering projects that drive down cost, improve performance, and amplify user experience with automation.
Automation Anywhere
View- Website:
- automationanywhere.com
- Company phone:
- 1-888-484-3535
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Director, Ml EngineeringAutomation Anywhere Aug 2023 - PresentSan Jose, Ca, UsCurrently serving as Director of ML Engineering at Automation Anywhere where I lead Machine Learning and Engineering for emerging technology throughout the company.
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Director, Data ScienceAutomation Anywhere Jan 2022 - Aug 2023San Jose, Ca, UsDirector of Data Science at Automation Anywhere, where I lead integration of generative AI and advanced AI capabilities across our enterprise automation platform.My team is embedded in various AI-focused projects, driving the seamless adoption of machine learning solutions to enhance automation and user experience across the organization.Additionally, I manage the Process Discovery offering, leveraging state-of-the-art computer vision and AI technologies to help businesses uncover and optimize the workflows their users follow.
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Director, Data ScienceFortressiq Jul 2021 - Jan 2022San Francisco, California, Us -
Senior Data ScientistFortressiq Jul 2019 - Jul 2021San Francisco, California, Us• Increased model inference speed 1700% by creating a distributed system that leveraged Kubernetes and asynchronous messaging within google cloud• Improved clustering accuracy five-fold by fine-tuning a BERT transformer and CNN-based models to combine image and text information for prediction.• Worked constantly with data science and engineering leaders to drive the adoption of key project initiatives.• Steered data science team to prioritize sales and customer retention in high stakes times to drive additional funding rounds.• Automated airflow and elasticsearch deployments to development and production clusters
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Data Scientist - Sr. AssociateCognizant Aug 2017 - Jul 2019Teaneck, New Jersey, UsOn-site Lead / Data Scientist / Machine Learning Engineer @ Apple Inc.• Lead a specialized data science team tasked with key machine learning projects, serving as a resource to assist members with individual projects and remain on track for client satisfaction• Applied machine learning algorithms to automatically find the best answer for customer issues drastically decreasing staff workload by 16,500 hours per month• Saved over 1000 hours per month by leveraging machine learning with NLP techniques to build a text classification algorithm that predicted with high accuracy whether advisor action was required• Applied deep learning (seq2seq) models to automate various use cases for translation and summarization• Slashed anomaly detection time for product issues by more than 10x by incorporating natural language processing, classification, and clustering within a Spark and a Hadoop ecosystem to scale to client needs -
Data Scientist/Machine Learning EngineerApple Aug 2017 - Jul 2019Cupertino, California, Us -
Technical Lead - Data Science PracticumCigna Aug 2016 - May 2017Bloomfield, Ct, Us• Performed matched case-control study to identify the effectiveness of different treatment regimens for a specialty condition and provide better financial outcomes for patients• Claim Severity Predictions - Utilized machine learning techniques (gradient boosting and neural networks) to predict insurance claim severity by employing feature engineering, parameter optimization, and model ensembling -
Data AnalystLanguageline Solutions Feb 2015 - Jun 2016Monterey, Ca, Us• Implemented process improvements and automated staffing optimization tasks in R/Shiny for analysts, which increased productivity by over 30%• Used machine learning to predict staff utilization rates from various features enabling senior management to make real-time adjustments to call routing• Automated reports and dashboards in Elasticsearch and Kibana which increased real-time and historical analytic capabilities, these were used at all levels of the company, including executive leadership• Developed analysis tools utilizing data from SQL and NoSQL databases, which streamlined how our team leveraged KPI and operational data -
System AnalystMbhtc Jun 2011 - Feb 2015• Designed and implemented Access databases utilizing SQL and VBA which streamlined data accessibility, reduced data redundancy, and more than tripled the efficiency of client processing• Constructed systems that automated payroll and billing resulting in 90% time savings by management• Developed numerous tools that analyzed key financial and operational statistics leading to optimized operational efficiency• Analyzed online search engine and website performance leading to proposing and performing a full redesign of the company website resulting in 5x website traffic and 2x more customers
Matt W. Skills
Matt W. Education Details
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North Carolina State UniversityAdvanced Analytics -
Uc Santa BarbaraStatistical Science
Frequently Asked Questions about Matt W.
What company does Matt W. work for?
Matt W. works for Automation Anywhere
What is Matt W.'s role at the current company?
Matt W.'s current role is Machine Learning & Engineering Leader | Automation Anywhere | Enterprise AI and Automation.
What is Matt W.'s email address?
Matt W.'s email address is ma****@****ter.com
What schools did Matt W. attend?
Matt W. attended North Carolina State University, Uc Santa Barbara.
What skills is Matt W. known for?
Matt W. has skills like R, Git, Amazon Web Services, Data Science, Salesforce.com, P/1, Predictive Modeling, Google Kubernetes Engine, Data Analysis, Relational Databases, Data Analytics, Fm/2.
Who are Matt W.'s colleagues?
Matt W.'s colleagues are Andrea Restrepo, Tiia Mod, Jacqueline Lee, Mukesh M, Greg Mesolella, Narayan Singh, Abdul Rehman.
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